Results 161 to 170 of about 40,198 (236)

Aflatoxigenic <i>Aspergillus</i> Section <i>Flavi</i> Strains and Diverse Molds Isolated from California Almonds. [PDF]

Toxins (Basel)
Szonyi B, Huang G, Birmingham T, Gizachew D.   +3 more
europepmc   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

Macromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source

Mass spectrometry imaging of N‐linked glycans: Fundamentals and recent advances

Mass Spectrometry Reviews, EarlyView.
Abstract With implications in several medical conditions, N‐linked glycosylation is one of the most important posttranslation modifications present in all living organisms. Due to their nontemplate synthesis, glycan structures are extraordinarily complex and require multiple analytical techniques for complete structural elucidation.
Tana V. Palomino, David C. Muddiman
wiley   +1 more source

A hybrid deep learning framework for SEM-based air pollutant analysis: Mamba integration and GAN-augmented training. [PDF]

Front Artif Intell
Cao M, Kong D, Zhu G, Chen Z.
europepmc   +1 more source

Improved Myocardial Sodium Quantification at 7 T Using Interleaved 23Na/1H pTx MRI With Motion and Anatomy‐Based B1 Correction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To improve accuracy and repeatability of myocardial 23Na quantification in cardiac MRI at 7 T by combining retrospective respiratory and cardiac motion correction with a novel anatomy‐based B1 bias field correction. Methods In this study, a dual‐nuclear interleaved 23Na/1H MRI sequence at 7 T was applied.
Laurent Ruck, Nico Egger, Benedikt Zobler, Judith Schirmer, Sophia Nagelstraßer, Andreas Bitz, Tanja Platt, Simon Konstandin, Christoph Kopp, Michael Uder, Armin Michael Nagel   +10 more
wiley   +1 more source

Filamentous Temperature-Sensitive Z Protein J175 Regulates Maize Chloroplasts' and Amyloplasts' Division and Development. [PDF]

Plants (Basel)
Lv H, He X, Zhang H, Cai D, Mou Z, He X, Li Y, Liu H, Liu Y, Hu Y, Zhang Z, Huang Y, Zhang J.   +12 more
europepmc   +1 more source

Deep‐Learning‐Based Image Reconstruction to Improve End‐Diastolic and Systolic Cardiac T1 Mapping

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an image reconstruction method that enables increased spatial resolution cardiac T1 mapping in both the end‐diastolic and systolic phase, that shows high T1 agreement with the clinical standard. The resolution gain is achieved by increasing the acceleration rate of MOLLI single‐shot images to R = 4, while maintaining a ...
Daniel Amsel, Jens Wetzl, Daniel Giese, Christoph Tillmanns, Rolf Gebker, Kelvin Chow, Michaela Schmidt, Andreas Lingg, Jens Kübler, Patrick Krumm, Thomas Küstner   +10 more
wiley   +1 more source

ASATrans: Adaptive spatial aggregation transformer for cervical nuclei segmentation on rough edges. [PDF]

PLoS One
Sun H, Hu S.
europepmc   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

Research on Field Weed Target Detection Algorithm Based on Deep Learning. [PDF]

Sensors (Basel)
Chen Z, Wu L, Jia Z, Wang J, Zhou G, Zhang Z.   +5 more
europepmc   +1 more source